Community assembly, diversity patterns and distributions of broad-leaved forests in North China
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
AimsTo understand the key processes driving the community assembly and diversity patterns in North China.Methods We investigated species composition of 87 plots from 29 sites.We applied phylogenetic approach, combined with community distribution information, to assess the community structure and diversity along environmental gradients.We then performed a variance partition to explore the relative importance of each environmental factor that influencing the patterns of community assembly and diversity process and a canonical correspondence analysis to analyze reason of community distributions.Important findings Similar communities showed similar habitat preferences, demonstrating that environments may shape species composition of the communities.The phylogenetic diversity showed a uni-modal pattern with the mean annual temperature (MAT), but increased with the mean annual precipitation (MAP), partly because of the strong disturbance in high-MAT regions.Temperature dominated the phylogenetic structure of the broadleaved forests in North China.Environmental filtering dominate the community assembly processes in the areas
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it